Reduces the input dataset to a singleton using a reduce function.
tf.raw_ops.ReduceDataset(
input_dataset,
initial_state,
other_arguments,
f,
output_types,
output_shapes,
use_inter_op_parallelism=True,
metadata='',
name=None
)
Args |
input_dataset
|
A Tensor of type variant .
A variant tensor representing the input dataset.
|
initial_state
|
A list of Tensor objects.
A nested structure of tensors, representing the initial state of the
transformation.
|
other_arguments
|
A list of Tensor objects.
|
f
|
A function decorated with @Defun.
A function that maps (old_state, input_element) to new_state . It must take
two arguments and return a nested structures of tensors. The structure of
new_state must match the structure of initial_state .
|
output_types
|
A list of tf.DTypes that has length >= 1 .
|
output_shapes
|
A list of shapes (each a tf.TensorShape or list of ints ) that has length >= 1 .
|
use_inter_op_parallelism
|
An optional bool . Defaults to True .
|
metadata
|
An optional string . Defaults to "" .
|
name
|
A name for the operation (optional).
|
Returns |
A list of Tensor objects of type output_types .
|